Monthly Archives: January 2019

Beyond “Embrace or Perish” – Thrive in the AI Era By Thinking Different

Artificial intelligence promises to uproot the practice of medical imaging – traditionally thought to be expensive and highly expert-driven.  Radiology industry juggernauts like General Electric, Nuance, and Partners HealthCare all teaming up with established AI players like Intel and NVidia.  The innovations have advanced rapidly. Recently, AI has managed to achieve super-human accuracy in the detection of pneumonia on radiography.

More interestingly, some vendors are marketing FDA-approved AI to expedite stroke treatment and eliminating diagnostic delays.  The definition of “delay?”  Human radiologists taking time to read those head CTs.

So what’s a radiology practice to do?

What can we learn from other industries that have seen the arrival of large, untamable, data- and AI-powered competitors?

Amazon entering an industry is typically regarded as an extinction-level event. Amazon started with the Internet, then had Big Data, and now has AI – they’ve bet first, bet big, and bet right on all of the major tech trends.

But this story isn’t about Amazon; it’s about everybody else.

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Your Radiology AI Briefing – January 3, 2019

In this briefing:

  • Research: F-18 FDG PET-CT predicts Alzheimer’s disease with 100% sensitivity and 82% specificity
  • Research: An “explainable AI” model for intracranial hemorrhage
  • Hardware: Specialized AI hardware promises to accelerate network training over 1000-fold in 5 years.
  • Startup: Philips funds 19 AI-related imaging startups in 14 countries
  • Marketing: Healthcare AI expected to grow 20-fold by 2024

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Stay up to speed in 2 minutes. Radiology AI Briefing is a semi-regular series of blog posts featuring hand-picked news stories and summaries on machine learning and data science.


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